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2022 Annual Conference

May 19–21, 2022

Sheraton Sand Key, Clearwater Beach, FL, US

Proposal authors can use this tool to see where they have been placed in the program agenda for an Oral or Poster Session.

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Confirm your place in the schedule by going to the ACCI Presenter Confirm Google Sheet and marking your session with the name and email address of the author who will be attending and presenting. Each presentation must have a separate paid registraint. Contact the ACCI Office immedicately by email at admin@consumerinterests.org to report a conflict or if you have questions. Please be sure to reference the session title(s), date(s), and time(s) if you contact us.

F1b Examining the Role of Consumer Preferences on U.S. Individuals’ Trade Policy Views

Saturday, May 21, 2022 at 8:45 AM–10:15 AM EDT
Room 1
Key Words

Expenditure, Import, Protectionist, Foreign trade, Globalization, Political economy, ANES

Short Description

The general purpose of this research project is to analyze the role of U.S. consumers’ preferences, along with other potential determinants indicated by international trade theories, on citizens’ trade policy views in 2016. Specifically, this project aims to examine the association between U.S. individual- and household-level consumption and citizens’ perception of trade policy, in particular, whether additional import restrictions should be placed by the United States on foreign products. This project utilizes both American National Election Studies (ANES) public survey data and the Consumer Expenditure (CE) Public Use Microdata from the Bureau of Labor Statistics (BLS). Statistical matching by cells is performed to impute individuals’ consumption patterns in the ANES survey from the CE survey, based on common demographic characteristics observed in both datasets. Additional variables are accessed via the BLS and the United States International Trade Commission (USITC). My hypothesis is that individuals whose consumption bundles largely consist of globally-imported goods are less likely to favor additional import restrictions. A binary response model is constructed to estimate the marginal effect of each potential factor associated with trade policy views.

Submitter

Lin Shi, American University (DC)

Authors

Lin Shi, American University (DC)
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